This paper deals with a novel system to assist weak people while exploring indoor environments. The proposed architecture is aimed to monitor the position and inertial behavior of users as well as environmental status...This paper deals with a novel system to assist weak people while exploring indoor environments. The proposed architecture is aimed to monitor the position and inertial behavior of users as well as environmental status (e.g. temperature, humidity, gases leakage, or smoke). The system is based on a Wireless Sensor Network and smart paradigms which extract relevant information from data collected through the multi-sensor architecture. The data collected are then processed to build awareness of User-Environment Interaction and User-Environment Contextualization. This knowledge is used to build information that is useful to the user for safe and efficient exploitation of the environment and to the supervisor for a suitable assessment and management of hazard situations. The paper mainly focuses on the multi-sensor system architecture and smart paradigms used to implement the User-Environment Contextualization feature.展开更多
文摘This paper deals with a novel system to assist weak people while exploring indoor environments. The proposed architecture is aimed to monitor the position and inertial behavior of users as well as environmental status (e.g. temperature, humidity, gases leakage, or smoke). The system is based on a Wireless Sensor Network and smart paradigms which extract relevant information from data collected through the multi-sensor architecture. The data collected are then processed to build awareness of User-Environment Interaction and User-Environment Contextualization. This knowledge is used to build information that is useful to the user for safe and efficient exploitation of the environment and to the supervisor for a suitable assessment and management of hazard situations. The paper mainly focuses on the multi-sensor system architecture and smart paradigms used to implement the User-Environment Contextualization feature.
